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Daily Scrums for Side-Projects

Hacker News

Daily Scrums for Side-Projects

Hello HN, and Merry Christmas! Two months ago, after an acquisition, I was laid off from my job. During my garden leave, I decided to use the time to build something for tracking my side-projects. At my previous company, we used Geekbot for async daily standups on Slack, which helped me stay focused and motivated each day. Inspired by that, I created PublicStandups — a tool to keep myself motivated on my side projects by tracking daily progress publicly. Currently you can; - Create multiple projects and post daily updates. - Share your updates publicly to build accountability. - Track daily streaks and showcase your project's progress with a dedicated page. - Highlight your project's tech stack for others to see. - Get feedback from other users on your project. Here's an example project page: https://publicstandups.com/u/muhammet/p/publicstandups/ Right now, this is a basic CRUD app with no magic at all—but my goal is to evolve it into a robust motivational tool for creators. While it's still early days (some buttons might not work, and some text might need tweaking), it's already usable! ps; For anyone who signs up during this early stage automatically gets a "Founder" flag. If the project eventually includes premium features, flagged users will get lifetime premium access. Would love your feedback, suggestions, or ideas to improve it. Let me know what you think -

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
93%93% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: slack, user · Missing: mac, agents, macos
69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month, users · Missing: mobile apps, ios, personal
35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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